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This article addresses the question of how great are higher education students’ incentives to change study programs or institutions to improve one’s personal employability in the course of the higher education-to-work transition process. The posed question is addressed at a system level. Students’ mobility between programs and institutions is referred to as ‘student mobility’ and graduates’ mobility between jobs is referred to as ‘early career mobility.’ The relationship between these two separate components of mobility is discussed in three different institutional frames: German/Finnish, Italian, and British. When depicting the relationship between the two components of mobility, the article also considers parallel phenomena such as prolongation of the degree-earning process and participation in work-life with student status. Indicator level analysis concerning graduates of the year 2000 reveals important differences between the three institutional frames: in Germany and Finland, there is a high level of student mobility at the basic degree level combined with a low level of career mobility after graduation; in the UK the opposite transition logic than that of Germany and Finland occurs, and in Italy students demonstrate prolonged transitions with little student mobility and early career mobility.
Matti E. LindbergEmail:
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Using multi-institutional data from the Cooperative Institutional Research Program’s (CIRP) annual survey of entering freshmen, the Higher Education Research Institute’s (HERI) Faculty Surveys, campus registrars’ offices, and IPEDS data, we evaluated the extent to which peer institutional retention climates and faculty perceived campus climates influenced individual 6-year retention rates. We used hierarchical generalized linear models (HGLM) to examine the extent to which institutional climate (as measured by peer institutional retention climate and faculty perceived climate), net of students’ ability, expectations, and family socioeconomic status, influence students’ persistence behavior. We found that institutional retention climate, as defined by a student body’s aggregated report of withdrawal intentions, did independently determine whether a student would persist or not. While past research has overlooked peer and faculty climates, the results from this work call for the attention of peer institutional retention climates.
Byung Shik RheeEmail:
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4.
Educational research has shown that individual-level background characteristics, such as parental socio-economic status and academic ability, influence college going behavior. This study tests for the existence of aggregate-level high school effects on college enrollment, persistence and degree attainment. It links institutional data on students enrolling within a year after graduation from in-state high schools with state data on high schools’ performance and populations. Three high school aggregate-level factors were found to affect enrollment and persistence. Specifically, the high schools’ percent of SAT takers has a concave-shape effect on enrollment, retention and graduation. Additionally, students coming from schools with a higher percent of those receiving free lunch are less likely to persist, and students coming from schools located within a 60 mile radius are more likely to matriculate and to persist to the second year. These results suggest that aggregate-level high school characteristics should be accounted for in enrollment management.
Iryna JohnsonEmail:
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Conflicting measures of state support for postsecondary education create confusion and misunderstanding that convolute debates about states’ postsecondary education funding. The use of multiple measures is largely unnecessary, though. A simple single measure is constructed that adequately quantifies both states’ postsecondary need and states’ ability to pay. Specifically, this study proposes measuring state support for postsecondary education as state postsecondary funding per high school graduate over the previous four years per dollar of per capita income.
Justin M. RoncaEmail:
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6.
The impact of increased academic intensity on transfer rates from community colleges to 4-year institutions has been estimated only from observational data, with the possibility of selection bias. This study uses matching estimators to overcome possible selection bias and estimate the causal impact of increased academic intensity on transfer rates. Using student unit record data from Tennessee for the years 1995 through 2004, I find that taking 12 or more credit hours increases the probability of transfer from between 11% and 15%.
William R. DoyleEmail:
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This paper examines the impact of attending different categories of selective institutions on students’ college completion. Specifically, it explores differences in the impact that selectivity of an institution has by race and ethnicity. The analysis accounts for the impact of individual and institutional characteristics and corrects for omitted variables with proxies for student motivation. The results suggest that students who attend the most selective institutions and highly selective institutions, as opposed to non-selective ones, are more likely to complete a bachelor’s degree. This result holds for African American and Hispanic students. After correcting for the problem of sorting of students into specific types of institutions, the results of the models suggest that the coefficient of selective institutions might have a small upward bias. The positive effect of selective institutions on attainment suggests that they have the potential to increase the graduation rates of minorities while narrowing the persistent college completion gap.
Tatiana MelguizoEmail:
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This paper suggests an alternative to the standard practice of measuring the graduation rate performance using regression analysis. The alternative is production frontier analysis. Production frontier analysis is appealing because it compares an institution’s graduation rate to the best performance instead of the average performance. The paper explains the differences between these two types of analysis and provides examples of their application using data for 187 national universities.
David H. FeldmanEmail:
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9.
Prompted by the notion of “Transfer Shock”, numerous studies examined academic performance of transfer students at senior institutions. However, few studies are found that examine how the varying nature of semester GPAs impact subsequent persistence behavior of transfer students after the initial drop in their college GPAs. Using an institutional data set, this study longitudinally investigated departure behavior of transfer students at a senior institution. Particular attention was given to how entry at different times and semester GPAs affected transfer student departure. Results indicate that during their first semester, sophomore and junior transfer students were 73% less likely to depart than freshman transfer students. After controlling for explanatory variables, higher semester GPAs were positively associated with higher persistence rates throughout the observation period.
Terry T. IshitaniEmail:
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10.
In this paper, in response to Ajay Sharma’s paper titled “Portrait of a science teacher as a bricoleur: A case study from India” and associated reviews, I address the value of bridging two narrative styles for describing teacher development, discuss questions of over-essentializing an Indian school context, propose that teacher and student participants should be included in this type of writing series, and identify institutional barriers to researchers acting as agents-of-change.
Sreyashi Jhumki BasuEmail:
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11.
Ideological differences in a writing class evoke the passion of political sensitivities. A graduate student tells of “coming out” as a pro-life advocate in an essay before his feminist classmates and professor. The exchange created instant and irreconcilable enemies, but he also found some unexpected support from a hesitant voice within that classroom.
Ethan CampbellEmail:
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In most multi-campus studies of college impact that have been conducted over the past four decades, investigators have relied on ordinary least squares (OLS) regression as the analytic method of choice. Recently, however, some investigators have advocated the use of Hierarchical Linear Modeling (HLM), a method specifically designed for analyses that involve both individual (student) and aggregate (institutional) level measures. Cross-validation analyses using a national database show that the two methods yield an equally good “fit” with empirical data. Existing OLS software has the advantage of enabling one to perform path analytical causal modeling; HLM has the advantage of yielding a more conservative estimate of the significance of institution-level effects.
Nida DensonEmail:
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14.
This exploratory study examines the learning beliefs of high and low achieving, low-income Mexican-American students. Semi-structured interviews were conducted with 11 ninth grade students. The qualitative analysis shows that students’ perceptions of their teachers’ expectations of a “good” student or a “not so good” student did not differ along achievement lines. However, the students’ perceptions about what it means to be a good student differentiated the low-achievers from the high-achievers. This study’s findings may be used to inform educators about Mexican-American students’ orientation towards school and learning, in hopes for creating more equitable educational settings where all students achieve to their fullest potential.
Soung BaeEmail:
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15.
This article examines how variation in educational outcomes according to “place,” or one’s geographic environment, has been explained in educational theory. In a critical review of functional, conflict, cultural and institutional theory in education, the author describes the disciplinary perspectives and research that leave the mechanisms of student differentiation according to place largely undeveloped. By introducing two related concepts of endogenous capital, the author articulates macro- and micro-level systems of social mobility between and within schools according to place. The author contends the social organization and functioning of schools mirror and support the larger structure of place-based stratification in that they sort and allocate students into places within school that differentiate one’s ability to convert the resources of the environment into social mobility.
Odis Johnson Jr.Email:
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16.
Most institutions of higher education allow students to drop or add courses in the first 2–3 weeks of each term (D&A). Arguing that course cancellation is not merely an administrative issue involving enrollment trends but represents complex decision making processes taken by students, this study investigated antecedents and correlates of course cancellation during a D&A period in 109 elective courses. Student ratings of the teachers (SRT) and characteristics of the syllabi distributed in the first class session were investigated as predictors of course cancellation. Rates of cancellation were significantly predicted from SRT and from syllabus workload difficulty—lower quality teachers (SRT-based) and more difficult courses (syllabus-based) being cancelled more frequently. Analysis of a sub-sample of truly elective, high-priority courses revealed that these correlations were intensified in teacher-centered lecture courses, but nullified in student-centered seminar courses, in which students write independent research papers. The importance of students’ course selection and course cancellation as decision making processes, the methodology based on institutional data rather than students’ self-reports, and the unique effects of course difficulty on students’ decisions were discussed.
Elisha BabadEmail:
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17.
This study illustrates how a diagnostic testing model can be used to make detailed comparisons between student populations participating in international assessments. The performance of Turkish students on the TIMSS-R mathematics test was reanalyzed with a diagnostic testing model called the Rule Space Model. First, mathematical and cognitive skills (‘attributes’) measured by the test were determined. One hundred sixty-two items were coded in terms of their attribute involvement, creating an incidence matrix—the Q-matrix. Using the Q-matrix and the student response data, each student’s attribute mastery profile was determined. Mean attribute mastery levels of Turkish students were computed and compared to those of their American peers. It was shown that Turkish students were weak in algebra and probability/statistics. They also demonstrated poor profiles in skills such as applying rules in algebra, approximation/estimation, solving open-ended problems, recognizing patterns and relationships, and quantitative reading.
Enis DoganEmail:
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18.
Legacies, or students with a family member who graduated from the same college or university, have been the source of much debate. We add to the existing literature by providing a detailed empirical portrait of legacies at a private, selective university across the college years. We examine how legacies are distinctive in their admissions profiles, within-college achievement and post-graduation plans, using data from a panel study of students attending Duke University. We find that legacies enter college with an abundance of economic, cultural and social capital, but also have lower levels of human capital compared to other students with college graduate parents. Due to this human capital deficit, legacies have lower grades in the first college year, but show little academic underperformance in subsequent semesters. Additionally, legacies are less likely to plan to be a medical doctor or engineer and have somewhat lower degree aspirations than other students.
Nathan D. MartinEmail:
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19.
A great challenge in education research involves the difficulty of differentiating between studies that apply commonly understood theoretical perspectives and recognizing studies that merely rename old theoretical frameworks. This conflict between intellectual innovation and intellectual retrofitting emerges as central to Basu, Calabrese-Barton, Clairmont, and Lock’s exploration of the relationship between critical agency and student identity development in science.
Bryan A. BrownEmail:
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20.
The purpose of this study is to identify school factors that affect students’ achievements at the secondary and tertiary levels of education. The analysis included data of 9,894 students who studied in Auckland regional secondary schools in 2004. The results indicate that, although student demographic characteristics are associated with students’ pathways and achievements, schools’ demographic composition did not affect student outcomes. It was found, however, that schools’ organisational factors do have an effect. At the university level, none of the schools’ characteristics was related to students’ achievements at the higher end of the achievement scale (GPA ≥ 4). However, students from private or state-integrated schools were found to be more likely to achieve low GPA (<2) than students who came from state schools. In conclusion, it is suggested that interventions targeting at-risk populations based on demographic factors should focus on individuals or groups rather than on institutions; while school-based interventions should identify the schools by their structure and function rather than by their demographic characteristics.
Boaz ShulrufEmail: Email:
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